Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
Add more filters










Database
Language
Publication year range
1.
J Trauma Acute Care Surg ; 83(5): 862-866, 2017 11.
Article in English | MEDLINE | ID: mdl-29068874

ABSTRACT

BACKGROUND: Child abuse remains a national epidemic that has detrimental effects if unnoticed in the clinical setting. Extreme cases of child abuse, or nonaccidental trauma (NAT), have large financial burdens associated with them due to treatment costs and long-term effects of abuse. Clinicians who have additional training and experience with pediatric trauma are better equipped to detect signs of NAT and have more experience reporting it. This additional training and experience can be measured by using the American College of Surgeons (ACS) Pediatric Trauma verification. It is hypothesized that ACS-verified pediatric trauma centers (vPTCs) have an increased prevalence of NAT because of this additional experience and training relative to non-ACS vPTCs. METHODS: The National Trauma Data Bank, for the years 2007 to 2014, was utilized to compare the prevalence of NAT between ACS vPTCs relative to non-ACS vPTCs to produce both crude and Injury Severity Score adjusted prevalence ratio estimates. RESULTS: The majority of NAT cases across all hospitals were male (58.3%). The mean age of the NAT cases was 2.3 years with a mean Injury Severity Score (ISS) of 11.1. The most common payment method was Medicaid (64.4%). The prevalence of NAT was 1.82 (1.74-1.90) times higher among ACS vPTCs and 1.81 (1.73-1.90) after adjusting for ISS. CONCLUSIONS: The greater prevalence of NAT at vPTCs likely represents a more accurate measure of NAT among pediatric trauma patients, likely due to more experience and training of clinicians. LEVEL OF EVIDENCE: Prognostic/Epidemiological, Level II.


Subject(s)
Child Abuse/statistics & numerical data , Hospitals, Pediatric , Trauma Centers , Adolescent , Child , Child Abuse/diagnosis , Child, Preschool , Female , Humans , Infant , Injury Severity Score , Linear Models , Male , Medicaid , Prevalence , United States/epidemiology
SELECTION OF CITATIONS
SEARCH DETAIL
...